knowledge representation


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knowledge representation

The subfield of artificial intelligence concerned with designing and using systems for storing knowledge - facts and rules about some subject.

A body of formally represented knowledge is based on a conceptualisation - an abstract view of the world that we wish to represent. In order to manipulate this knowledge we must specify how the abstract conceptualisation is represented as a concrete data structure. An ontology is an explicit specification of a conceptualisation.
This article is provided by FOLDOC - Free Online Dictionary of Computing (foldoc.org)

knowledge representation

A method used to code knowledge in an expert system, typically a series of IF-THEN rules (IF this condition occurs, THEN take this action).
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Primal's augmented intelligence platform combines advanced semantic synthesis and knowledge representation to understand text in a similar manner to how the human brain processes and represents information.
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Handbook of Knowledge Representation. Elsevier, Oxford.
Fable Representation in FNOK and DNOK Formalisms Using the NOK Conceptual Framework
Facing this problem, a number of existing studies have proposed computer-interpretable knowledge representation approaches.
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RDF Schema is an extensible knowledge representation language, providing basic elements for the description of the ontologies.
A survey on approaches, methodologies, standards, and tools for ontologies
The mission of expert system knowledge representation is to abstract the fundamental concept of disease diagnosed by TCM expert and clear up the relationship among those concepts, while TCM disease diagnosis relation knowledge embodies the causality of the symptom, disease and prescription.
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Essentially, a good medical diagnosis system requires a structured knowledge representation component (model) that reflects most of the existing medical relations.
Composite ontology-based medical diagnosis decision support system framework
We are not aware of how the knowledge is represented in human mind till with use of knowledge representation techniques and methods, we are able to process our data forming the knowledgebase more over the implementation of ontological rules helps us to formulate an exhaustive and rigorous conceptual schema within a given domain, a typically hierarchical data structure containing all the relevant entities and their relationships and rules (theorems, regulations) within that domain.
Knowledge based Replica management in data grid computation
Ontologies nowadays, as modern knowledge bases, serve as a knowledge representation technology that has been used to describe large number of domains.
How to improve expressing domain semantics in ontologies
wearable micro and nano technologies for personalized health) and the use of collective intelligence for fine-tuning public health policy, 23 papers are presented in sections on system design and evaluation, computer-assisted learning, knowledge representation and ontologies, electronic health records, and patient empowerment.
Medical and care compunetics 6
Since knowledge is used to achieve intelligent behavior, the fundamental goal of knowledge representation is to represent knowledge in a manner so as to facilitate inferences (i.e.
An interoperable knowledge representation in distributed environment
It came out of the idea of knowledge representation, which in turn sprang from work in artificial intelligence.
The dream of the Semantic Web
"Cognitive Science" was launched in 1977 and is published six times a year to carry information in all areas of cognitive science, including knowledge representation, memory processes, natural language understanding, brain theory, motor control, and related areas of interdisciplinary research.
Wiley-Blackwell Partners with the Cognitive Science Society

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